Which Working Groups are currently active?

OMP has currently four active working groups:

Manufacturing Reference Architecture (MRA)

The Manufacturing Reference Architecture Working Group will define architectural blueprints, diagrams, whitepapers, and descriptions demonstrating how different technological components fit together to provide a solution. It may contain qualitative descriptions of each component as well as schematic blocks.

For example, a reference architecture component could identify and define patterns for data ingestion or deployment between the cloud and the edge​. At the same time, it may also explore new business models, such as an architectural framework to operate securely and self-determined on shared industrial data platforms.

The working group will embrace pre-existing open reference architectures from across the industry and integrate tightly with the other OMP Working Groups.

smart industry robot arms, digital factory, industry 4.0, automation manufacturing, photo: Blue Planet Studio

IoT Connectivity (IoT)

Connecting IoT devices and machines to the cloud is one of the first steps in digitizing production lines. This is a fundamental requirement for systematic and continuous access, bundling, and processing of data from the shopfloor. It enables the use of cloud-connected industrial IoT applications.

Modern IoT devices and machines can be connected via the OPC Unified Architecture (OPC UA), while special challenges occur for historically developed legacy systems with various standards and interfaces. The working group IoT Connectivity defines and develops industrial-grade integration solutions for green and brownfield equipment based on a modern edge and cloud approach.

The goal is to seamlessly integrate new production equipment independent of its intended use and technical characteristics.

Semantic Data Structuring (SDS)

The number of components that produce data and applications that consume data is steadily growing in the manufacturing environment. More and more frequently, the stream of data does not stop at plant boundaries – IIoT software developers and mechanical engineers are just as interested in production data as machine operators onsite. A common basis is essential to ease communication within this growing hardware, software, and people ecosystem.

In this Working Group, a Semantic Data Structuring Layer shall be developed that addresses the needs to share, join and reuse heterogeneous data of the manufacturing domain by applying common semantics for various stakeholders through comprehensive semantic data homogenization and conveying manufacturing data along with contextual information.

The results of this working group will also enable other OMP working groups to define semantic models for their applications.

Data Semantic, Adobe Stock, kentoh

Autonomous Transport Systems (ATS)

With the evolvement of industry 4.0, robot and cloud technology autonomous guided vehicles (AGVs) play a decisive role in the digitalization of manufacturing plants across all industries. They not only find their way independently within a specific realm and communicate with other IoT devices such as barrier gates, but they also provide the link to the logistics and manufacturing systems. This needs to be set up, orchestrated, and operated by the employees on the shopfloor to leverage the full benefit of digitalization.

Hence, the working group ATS Core services define and develop logistics core services to set up, execute, and monitor transportation orders carried out by various autonomous robots (AGVs, tucker trains, smart forklifts). In addition, the working group provides the APIs to connect all types of robots to the core services, give the link to the logistics and manufacturing systems, the maintenance systems, and connect the robots to other IoT devices.

Sustainability

The path to carbon net zero in production is a long-term vision and a challenging goal that manufacturers will have to face in the coming years and decades. The first important step is complete transparency and awareness of greenhouse gas emissions. These are recorded and assessed using established standards such as the Greenhouse Gas Protocol. This includes not only electricity, but also other forms of energy such as steam, compressed air, and heat.

The goal is to identify non-competitive approaches with the highest carbonizing effects for the production line during manufacturing and evaluate digital technologies and existing solutions (e.g. data models) to leverage the sustainability of manufacturing lines.

The Sustainability Working Group will discuss and define measures that can be derived from these findings. With the broad manufacturing know-how of the members, these measures will then be used to optimize production processes in the core area of manufacturing.

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